IEA Bioenergy Task 40 “Sustainable International Bioenergy Trade: Securing supply and demand” Country report of Finland 2008

This study considered the current situation of biofuels markets in Finland. The fact that industry consumes more than half of the total primary energy, widely applied combined heat and power production and a high share of solid biomass fuels in the total energy consumption are specific to the Finnish energy system. Wood is the most important source of bioenergy in Finland, representing 21% of the total energy consumption in 2006. Almost 80% of the wood-based energy is recovered from industrial by-products and residues. Finland has commitment itself to maintaining its greenhouse gas emissions at the 1990 level, at the highest, during the period 2008–2012. The energy and climate policy carried out in recent years has been based on the National Energy and Climate introduced in 2005. The Finnish energy policy aims to achieve the target, and a variety of measures are taken to promote the use of renewable energy sources and especially wood fuels. In 2007, the government started to prepare a new long-term (up to the year 2050) climate and energy strategy that will meet EU’s new targets for the reduction of green house gas emissions and the promotion of renewable energy sources. The new strategy will be introduced during 2008. The international biofuels trade has a substantial importance for the utilisation of bioenergy in Finland. In 2006, the total international trading of solid and liquid biofuels was approximately 64 PJ of which import was 61 PJ. Most of the import is indirect and takes place within the forest industry’s raw wood imports. In 2006, as much as 24% of wood energy was based on foreignorigin wood. Wood pellets and tall oil form the majority of export streams of biofuels. The indirect import of wood fuels increased almost 10% in 2004–2006, while the direct trade of solid and liquid biofuels has been almost constant.

Kansainvälistymistukien vertailututkimus

Tutkimuksen tarkoituksenaoli selvittää kansainvälistymistukien käyttöä eri Euroopan maissa. Tarkempaan tutkimukseen otettiin Saksan kaikki osavaltiot ja Ruotsi. Samalla selvitettiin myös niitä kansainvälisen kaupan sääntöjä ja määräyksiä, joita asetetaan, jotta tuet eivät vääristä kilpailua. Tällä tavalla oli tarkoitus löytää uusia 'hyviä käytäntöjä, Suomen seuraavan EU-ohjelmakauden ohjelmien kehittämiseksi. Tutkimuksessa kävi ilmi, että eri maat ja alueet painottavat yritystensä viennin- tai kansainvälistymisen tukemista eri lailla. Joillain alueille ei ole juuri minkäänlaista tukiohjelmaa, kun taas varsinkin Saksassa tukiohjelmatovat laajoja. Yhteistä kaikille ohjelmille on, että tukipäätökset ovat usein pienempiä kuin Suomessa. Toisaalta Suomessakin päätöksien koot ovat yleensä huomattavasti pienempiä kuin olisi mahdollista lain perusteella tehdä. Kokonaisuutena Suomen järjestelmä toimii hyvin ja sen avulla voidaan nytkin saavuttaa hyviä tuloksia. Jatkossa on kuitenkin kiinnitettävä huomiota siihen, että kehitämme ohjelmia erityisesti pienimpien yritysten kansainvälistymistä varten.

International bioenergy trade- scenario study on international biomass market in 2020

The markets of biomass for energy are developing rapidly and becoming more international. A remarkable increase in the use of biomass for energy needs parallel and positive development in several areas, and there will be plenty of challenges to overcome. The main objective of the study was to clarify the alternative future scenarios for the international biomass market until the year 2020, and based on the scenario process, to identify underlying steps needed towards the vital working and sustainable biomass market for energy purposes. Two scenario processes were conducted for this study. The first was carried out with a group of Finnish experts and thesecond involved an international group. A heuristic, semi-structured approach, including the use of preliminary questionnaires as well as manual and computerised group support systems (GSS), was applied in the scenario processes.The scenario processes reinforced the picture of the future of international biomass and bioenergy markets as a complex and multi-layer subject. The scenarios estimated that the biomass market will develop and grow rapidly as well as diversify in the future. The results of the scenario process also opened up new discussion and provided new information and collective views of experts for the purposes of policy makers. An overall view resulting from this scenario analysis are the enormous opportunities relating to the utilisation of biomass as a resource for global energy use in the coming decades. The scenario analysis shows the key issues in the field: global economic growth including the growing need for energy, environmental forces in the global evolution, possibilities of technological development to solve global problems, capabilities of the international community to find solutions for global issues and the complex interdependencies of all these driving forces. The results of the scenario processes provide a starting point for further research analysing the technological and commercial aspects related the scenarios and foreseeing the scales and directions of biomass streams.

Solid and liquid biofuels markets in Finland - a study on international biofuels trade

This study considered the current situation of solid and liquid biofuels markets and international biofuels trade in Finland and identified the challenges ofthe emerging international biofuels markets for Finland. The fact that industryconsumes more than half of the total primary energy, widely applied combined heat and power production (CHP) and a high share of biofuels in the total energy consumption are specific to the Finnish energy system. One third of the electricity is generated in CHP plants. As much as 27% of the total energy consumption ismet by using wood and peat, which makes Finland the leading country in the use of biofuels. Finland has made a commitment to maintain greenhouse gas emissions at the 1990 level at the highest during the period 2008-2012. The Finnish energypolicy aims to achieve the target, and a variety of measures are taken to promote the use of renewable energy sources and especially wood fuels. In this study, the wooden raw material streams of the forest industry were included the international biofuels trade in addition to biomass streams that are traded for energy production. In 2004, as much as 45% of the raw wood importedinto Finland ended up in energy production. The total international trading of biofuels was evaluated at 72 PJ, of which the majority, 58 PJ, was raw wood. About 22% of wood based energy in Finland originated from imported raw wood. Tall oil and wood pellets composed the largest export streams of biofuels. The annual turnover of international biofuels trade was estimated at about ¤ 90 million fordirect trade and at about ¤ 190 million for indirect trade. The forest industryas the biggest user of wood, and the producer and user of wood fuels has a central position in biomass and biofuels markets in Finland. Lately, the international aspects of Finnish biofuels markets have been emphasised as the import of rawwood and the export of wood pellets have increased. Expanding the use of biofuels in the road transportation sector would increase the international streams ofbiofuels in Finland. In coming years, the international trading of biomass for energy purposes can be expected to continue growing.

R&D Performance Analysis: Case Studies on the Challenges and Promotion of the Evaluation and Measurement of R&D

Due to the intense international competition, demanding, and sophisticated customers, and diverse transforming technological change, organizations need to renew their products and services by allocating resources on research and development (R&D). Managing R&D is complex, but vital for many organizations to survive in the dynamic, turbulent environment. Thus, the increased interest among decision-makers towards finding the right performance measures for R&D is understandable. The measures or evaluation methods of R&D performance can be utilized for multiple purposes; for strategic control, for justifying the existence of R&D, for providing information and improving activities, as well as for the purposes of motivating and benchmarking. The earlier research in the field of R&D performance analysis has generally focused on either the activities and considerable factors and dimensions - e.g. strategic perspectives, purposes of measurement, levels of analysis, types of R&D or phases of R&D process - prior to the selection of R&Dperformance measures, or on proposed principles or actual implementation of theselection or design processes of R&D performance measures or measurement systems. This study aims at integrating the consideration of essential factors anddimensions of R&D performance analysis to developed selection processes of R&D measures, which have been applied in real-world organizations. The earlier models for corporate performance measurement that can be found in the literature, are to some extent adaptable also to the development of measurement systemsand selecting the measures in R&D activities. However, it is necessary to emphasize the special aspects related to the measurement of R&D performance in a way that make the development of new approaches for especially R&D performance measure selection necessary: First, the special characteristics of R&D - such as the long time lag between the inputs and outcomes, as well as the overall complexity and difficult coordination of activities - influence the R&D performance analysis problems, such as the need for more systematic, objective, balanced and multi-dimensional approaches for R&D measure selection, as well as the incompatibility of R&D measurement systems to other corporate measurement systems and vice versa. Secondly, the above-mentioned characteristics and challenges bring forth the significance of the influencing factors and dimensions that need to be recognized in order to derive the selection criteria for measures and choose the right R&D metrics, which is the most crucial step in the measurement system development process. The main purpose of this study is to support the management and control of the research and development activities of organizations by increasing the understanding of R&D performance analysis, clarifying the main factors related to the selection of R&D measures and by providing novel types of approaches and methods for systematizing the whole strategy- and business-based selection and development process of R&D indicators.The final aim of the research is to support the management in their decision making of R&D with suitable, systematically chosen measures or evaluation methods of R&D performance. Thus, the emphasis in most sub-areas of the present research has been on the promotion of the selection and development process of R&D indicators with the help of the different tools and decision support systems, i.e. the research has normative features through providing guidelines by novel types of approaches. The gathering of data and conducting case studies in metal and electronic industry companies, in the information and communications technology (ICT) sector, and in non-profit organizations helped us to formulate a comprehensive picture of the main challenges of R&D performance analysis in different organizations, which is essential, as recognition of the most importantproblem areas is a very crucial element in the constructive research approach utilized in this study. Multiple practical benefits regarding the defined problemareas could be found in the various constructed approaches presented in this dissertation: 1) the selection of R&D measures became more systematic when compared to the empirical analysis, as it was common that there were no systematic approaches utilized in the studied organizations earlier; 2) the evaluation methods or measures of R&D chosen with the help of the developed approaches can be more directly utilized in the decision-making, because of the thorough consideration of the purpose of measurement, as well as other dimensions of measurement; 3) more balance to the set of R&D measures was desired and gained throughthe holistic approaches to the selection processes; and 4) more objectivity wasgained through organizing the selection processes, as the earlier systems were considered subjective in many organizations. Scientifically, this dissertation aims to make a contribution to the present body of knowledge of R&D performance analysis by facilitating dealing with the versatility and challenges of R&D performance analysis, as well as the factors and dimensions influencing the selection of R&D performance measures, and by integrating these aspects to the developed novel types of approaches, methods and tools in the selection processes of R&D measures, applied in real-world organizations. In the whole research, facilitation of dealing with the versatility and challenges in R&D performance analysis, as well as the factors and dimensions influencing the R&D performance measure selection are strongly integrated with the constructed approaches. Thus, the research meets the above-mentioned purposes and objectives of the dissertation from the scientific as well as from the practical point of view.

Sähköisen kaupan hankkeen arviointi rakennustuoteyrityksessä

Tämän diplomityön tavoitteena on arvioida rakennustuoteyrityksessä toteutetun yksityisen sähköisen kauppapaikan hyötyjä ja kustannuksia. Toisena tavoitteena on vertailla yksityisen kauppapaikan ja rakennusalan yhteisen BuildForum-kauppapaikan soveltuvuutta yrityksen e-kaupparatkaisuksi. Liiketoiminnan keskeisin tavoite on kannattavuus, mihin vaikuttavia tekijöitä ovat toimialarakenne ja kilpailuetu, johon strategialla pyritään. Sähköinen kauppa on sähköisen liiketoiminnan osa-alue yrityksen ja asiakkaan rajapinnassa ja se voidaan jakaa markkinointi-, rahoitus-, tilaus- ja toimituskanavaan. Sähköinen kauppa vaikuttaa kumpaankin kannattavuuden osatekijään. Strategian keskeisiä elementtejä ovat asiakkaalle tuotettu arvo ja sen tuottamisen aiheuttamat kustannukset. Molemmat ovat seurausta yrityksen arvoketjussa suoritetuista toiminnoista. E-kauppahanke vaikuttaa tarkasteltavan yrityksen arvoketjussa eniten myynti- ja markkinointitoimintoihin, erityisesti tilaus-toimitusprosessiin. Johtopäätöksenä sähköinen kaupankäynti nopeuttaa tilauksenkäsittelyä, vähentää siinä syntyviä virheitä, sekä kyselyjä tarjoten tietoa itsepalveluna verkossa. Tällöin e-kauppa sekä kasvattaa asiakkaalle tuotettua arvoa että alentaa kustannuksia. Toimialarakenteen säilyessä ennallaan hankkeen kokonaisvaikutus yrityksen kannattavuuteen on positiivinen. Myös investointilaskelma osoittaa hankkeen olevan kannattava. Tarkasteltavan yrityksen tuotteiden räätälöintiaste on korkea, minkä vuoksi vain harvat tuotteet soveltuvat standardimaiseen kaupankäyntiin BuildForum-kauppapaikan kautta. Yrityksellä voidaankin ajatella olevan erityisasema yksityisen kauppapaikan ylläpitämiseen. Kaiken kaikkiaan e-kaupan osuus yrityksessä jää kuitenkin rajalliseksi ja asian-tuntevien myyjien asema on jatkossakin merkittävä.

Operative level purchasing in pharmaceutical wholesale trade

Tämän tutkintotyön tavoitteena on selvittää operatiivista ostotoimintaa, joka sisältää oikea-aikaisen tilausrytmin ja tasapainoisen tilausmäärän määrityksen sekä saapuvan tavaravirran mukauttamisen myyntiin tai kulutukseen kokonaisuutena. Tässä tutkimuksessa tarkastellaan myös varastojen merkitystä ja ostotoiminnan kannalta keskeisimpiä tehokkaaseen varastonohjaukseen liittyviä tunnuslukuja. Tutkimus sisältää lääkkeiden toimitusketjun kuvauksen, koska se poikkeaa merkittävästi muista toimialoista. Tämä tutkintotyö on syntetisoiva kirjallisuustutkimus. Tutkintotyön empiirisessä osassa analysoidaan aluksi case-yrityksen vaihto-omaisuusvaraston ohjausta ostotoiminnan näkökulmasta ABC analyysiin pohjautuen. Tämän jälkeen ostotoimintaa analysoidaan tarkemmin tiettyjen toimittajien osalta. Lopuksi laaditaan optimaalinen tilausrytmi ja tilausmäärät sekä ostobudjetti yhden toimittajan tuotteille. ABC analyysia voidaan hyödyntää työkaluna määriteltäessä miten erilaisten tuotteiden materiaalivirtoja tulisi ostotoiminnan kannalta ohjata. Analyysi perustuu resurssien keskittämiseen sinne missä tuotto on suurin.

Analyzing Carbon Trade Permits in Optimization Framework

The threats caused by global warming motivate different stake holders to deal with and control them. This Master's thesis focuses on analyzing carbon trade permits in optimization framework. The studied model determines optimal emission and uncertainty levels which minimize the total cost. Research questions are formulated and answered by using different optimization tools. The model is developed and calibrated by using available consistent data in the area of carbon emission technology and control. Data and some basic modeling assumptions were extracted from reports and existing literatures. The data collected from the countries in the Kyoto treaty are used to estimate the cost functions. Theory and methods of constrained optimization are briefly presented. A two-level optimization problem (individual and between the parties) is analyzed by using several optimization methods. The combined cost optimization between the parties leads into multivariate model and calls for advanced techniques. Lagrangian, Sequential Quadratic Programming and Differential Evolution (DE) algorithm are referred to. The role of inherent measurement uncertainty in the monitoring of emissions is discussed. We briefly investigate an approach where emission uncertainty would be described in stochastic framework. MATLAB software has been used to provide visualizations including the relationship between decision variables and objective function values. Interpretations in the context of carbon trading were briefly presented. Suggestions for future work are given in stochastic modeling, emission trading and coupled analysis of energy prices and carbon permits.

Abuses in the Poultry Trade

18 x 25 cm

A new climatic periodisation of the Gold and Guinea Coasts in West Africa, 1750-1798 : a reconstruction of the climate during the slave trade era, including an analysis of the climatically facilitated Trans-Atlantic slave trade

Avsikten med studien är att producera den första rekonstruktionen av det västafrikanska klimatet mellan 1750 och 1798. Kunskapen om det västafrikanska klimatet före 1800-talet är till dags dato bristfällig, vilket gör det svårare att förstå framtida klimatvariationer. Det är bristen på instrumentell meteorologisk data (temperatur, regnmängd, och lufttryck), vilket i princip bara täcker det senaste århundradet, som är orsaken till att tidigare klimat är bristfälligt kartlagda. Klimatet och miljön är även sådana att proxydata från ’naturens arkiv’ (såsom t.ex. trädringar) har begränsad användning. Således är historiska dokument, främst från gästande kulturer/nationer/intressenter, innehållande deskriptiv information om vädret och klimatet, klimatforskarens viktigaste källa. Genom att använda tidigare, för det här syftet, oanvända källor påvisade den här undersökningen att klimatet i västra Afrika och Guldkusten (Ghana) har ändrats sedan 1700-talet. Monsunregnen var svagare och kortvarigare, speciellt den sekundära regnperioden under hösten var betydligt svagare än idag. Det förekom kraftiga årliga variationer i monsunregnen, men sett ur längre tidsperspektiv utmärktes torrare och blötare perioder. Studien kunde också visa en viss korrelation mellan det globala väderfenomenet El Niño och regnperiodens intensitet längs med kusten. Flera torrperioder sammanföll med tidigare registrerade El Niño sekvenser. Speciellt slutet av 1760-talet påverkades kraftigt av El Niño och även det globala klimatet verkar ha genomgått graftiga förändringar just dessa år. På basis av den nya klimatrekonstruktionen genomfördes också en jämförelse av klimatets inverkan på den transatlantiska slavhandeln från 1750 till 1798, en fråga som historikerna gjort anspelningar på i över 30 år. Utförseln av slavar från västra Afrika var som kraftigast under 1700-talets andra hälft. Analysen visade att slavhandeln delvis tilltog i samband med klimatanomalierna.

Risk-return trade-off and autocorrelation

A trade-off between return and risk plays a central role in financial economics. The intertemporal capital asset pricing model (ICAPM) proposed by Merton (1973) provides a neoclassical theory for expected returns on risky assets. The model assumes that risk-averse investors (seeking to maximize their expected utility of lifetime consumption) demand compensation for bearing systematic market risk and the risk of unfavorable shifts in the investment opportunity set. Although the ICAPM postulates a positive relation between the conditional expected market return and its conditional variance, the empirical evidence on the sign of the risk-return trade-off is conflicting. In contrast, autocorrelation in stock returns is one of the most consistent and robust findings in empirical finance. While autocorrelation is often interpreted as a violation of market efficiency, it can also reflect factors such as market microstructure or time-varying risk premia. This doctoral thesis investigates a relation between the mixed risk-return trade-off results and autocorrelation in stock returns. The results suggest that, in the case of the US stock market, the relative contribution of the risk-return trade-off and autocorrelation in explaining the aggregate return fluctuates with volatility. This effect is then shown to be even more pronounced in the case of emerging stock markets. During high-volatility periods, expected returns can be described using rational (intertemporal) investors acting to maximize their expected utility. During lowvolatility periods, market-wide persistence in returns increases, leading to a failure of traditional equilibrium-model descriptions for expected returns. Consistent with this finding, traditional models yield conflicting evidence concerning the sign of the risk-return trade-off. The changing relevance of the risk-return trade-off and autocorrelation can be explained by heterogeneous agents or, more generally, by the inadequacy of the neoclassical view on asset pricing with unboundedly rational investors and perfect market efficiency. In the latter case, the empirical results imply that the neoclassical view is valid only under certain market conditions. This offers an economic explanation as to why it has been so difficult to detect a positive tradeoff between the conditional mean and variance of the aggregate stock return. The results highlight the importance, especially in the case of emerging stock markets, of noting both the risk-return trade-off and autocorrelation in applications that require estimates for expected returns.